Actively Recruiting

Phase Not Applicable
Age: 18Years +
All Genders
Healthy Volunteers
NCT06193356

Detection of Endoscopic Resection Scars and Delineation of Recurrence is Trainable

Led by University Hospital, Ghent · Updated on 2025-11-25

141

Participants Needed

1

Research Sites

111 weeks

Total Duration

On this page

AI-Summary

What this Trial Is About

Colorectal cancer is prevented by colonoscopy and polypectomy. Failure to recognize the endoscopic resection scar after Endoscopic Mucosal Resection (EMR) risks unrecognized recurrent or residual adenoma (RRA), which may propagate into post-colonoscopy colorectal cancer. Expert series suggest scar recognition and interrogation is well performed with a high negative predictive value of endoscopic imaging vs histopathology. In this study the authors will investigate the performance of endoscopic imaging in detecting RRA at an endoscopic resection scar amongst general endoscopist and the impact of a learning intervention on recognition of RRA. After consent is given, the participant will open the online survey and fill this in. First the participant will be asked to create a pseudonym (name+year of birth) and fill in their demographical information (Grade, years in current role, colonoscopy experience, experience of colonic tissue resection, country of employment The first 15 pictures will be shown prior to a learning intervention. For each picture the same questions will be asked: * Is this an endoscopic resection scar? * Based on this image does the scar demonstrate evidence of residual or recurrent adenoma (RRA)? * What is your level of confidence? * If the scar shows RRA, how would you treat it? (skip if you feel no RRA). * If the scar does not show RRA do you feel there is another diagnosis? After the first 15 pictures a video-based learning tool will be shown on detection of RRA. After the learning tool 15 different pictures will be shown, the same questions will be asked. All responses will be collected by the investigators. Statistical analysis will be performed using visual studio code (Microsoft, Redmond, USA) Images will be selected from the 'Australian Colonic LSL Endoscopic Resection Study' (ACE) database, which is an international multicentre registry of images and videos for retrospective analysis of colonic lesions. Images, videos, procedural information, and histopathological data are stored on a secure online web portal after written informed consent of every participating patient.

CONDITIONS

Official Title

Detection of Endoscopic Resection Scars and Delineation of Recurrence is Trainable

Who Can Participate

Age: 18Years +
All Genders
Healthy Volunteers

Eligibility Criteria

Eligible

You may qualify if you...

  • Endoscopists of any experience level
Not Eligible

You will not qualify if you...

  • Non consenting adults

AI-Screening

AI-Powered Screening

Complete this quick 3-step screening to check your eligibility

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Trial Site Locations

Total: 1 location

1

UZ Gent

Ghent, Belgium, 9000

Actively Recruiting

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Research Team

D

David J trate, PhD

CONTACT

S

Sander Smeets, MD

CONTACT

How is the study designed?

Study Type

INTERVENTIONAL

Masking

NONE

Allocation

RANDOMIZED

Model

PARALLEL

Primary Purpose

DIAGNOSTIC

Number of Arms

2

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Detection of Endoscopic Resection Scars and Delineation of Recurrence is Trainable | DecenTrialz